听力与言语-语言病理学

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医学伦理学

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  • Joint modeling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach.

    abstract::Joint models initially dedicated to a single longitudinal marker and a single time-to-event need to be extended to account for the rich longitudinal data of cohort studies. Multiple causes of clinical progression are indeed usually observed, and multiple longitudinal markers are collected when the true latent trait of...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6731

    authors: Proust-Lima C,Dartigues JF,Jacqmin-Gadda H

    更新日期:2016-02-10 00:00:00

  • Utility-based optimization of phase II/III programs.

    abstract::Phase II and phase III trials play a crucial role in drug development programs. They are costly and time consuming and, because of high failure rates in late development stages, at the same time risky investments. Commonly, sample size calculation of phase III is based on the treatment effect observed in phase II. The...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6624

    authors: Kirchner M,Kieser M,Götte H,Schüler A

    更新日期:2016-01-30 00:00:00

  • A penalized robust semiparametric approach for gene-environment interactions.

    abstract::In genetic and genomic studies, gene-environment (G×E) interactions have important implications. Some of the existing G×E interaction methods are limited by analyzing a small number of G factors at a time, by assuming linear effects of E factors, by assuming no data contamination, and by adopting ineffective selection...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6609

    authors: Wu C,Shi X,Cui Y,Ma S

    更新日期:2015-12-30 00:00:00

  • A joint model for interval-censored functional decline trajectories under informative observation.

    abstract::Multi-state models are useful for modelling disease progression where the state space of the process is used to represent the discrete disease status of subjects. Often, the disease process is only observed at clinical visits, and the schedule of these visits can depend on the disease status of patients. In such situa...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6582

    authors: Lesperance ML,Sabelnykova V,Nathoo FS,Lau F,Downing MG

    更新日期:2015-12-20 00:00:00

  • Joint estimation of multiple disease-specific sensitivities and specificities via crossed random effects models for correlated reader-based diagnostic data: application of data cloning.

    abstract::We present a model for describing correlated binocular data from reader-based diagnostic studies, where the same group of readers evaluates the presence or absence of certain diseases on binocular organs (e.g., fellow eyes) of patients. Multiple random effects are incorporated to meaningfully delineate various associa...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6584

    authors: Withanage N,de Leon AR,Rudnisky CJ

    更新日期:2015-12-20 00:00:00

  • Nonparametric meta-analysis for diagnostic accuracy studies.

    abstract::Summarizing the information of many studies using a meta-analysis becomes more and more important, also in the field of diagnostic studies. The special challenge in meta-analysis of diagnostic accuracy studies is that in general sensitivity and specificity are co-primary endpoints. Across the studies both endpoints ar...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6583

    authors: Zapf A,Hoyer A,Kramer K,Kuss O

    更新日期:2015-12-20 00:00:00

  • The power prior: theory and applications.

    abstract::The power prior has been widely used in many applications covering a large number of disciplines. The power prior is intended to be an informative prior constructed from historical data. It has been used in clinical trials, genetics, health care, psychology, environmental health, engineering, economics, and business. ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6728

    authors: Ibrahim JG,Chen MH,Gwon Y,Chen F

    更新日期:2015-12-10 00:00:00

  • Designing a study to evaluate the benefit of a biomarker for selecting patient treatment.

    abstract::Biomarkers that predict the efficacy of treatment can potentially improve clinical outcomes and decrease medical costs by allowing treatment to be provided only to those most likely to benefit. We consider the design of a randomized clinical trial in which one objective is to evaluate a treatment selection marker. The...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6564

    authors: Janes H,Brown MD,Pepe MS

    更新日期:2015-11-30 00:00:00

  • Estimation of infection prevalence and sensitivity in a stratified two-stage sampling design employing highly specific diagnostic tests when there is no gold standard.

    abstract::In this work, we describe a two-stage sampling design to estimate the infection prevalence in a population. In the first stage, an imperfect diagnostic test was performed on a random sample of the population. In the second stage, a different imperfect test was performed in a stratified random sample of the first sampl...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6545

    authors: Miller E,Huppert A,Novikov I,Warburg A,Hailu A,Abbasi I,Freedman LS

    更新日期:2015-11-10 00:00:00

  • A Bayesian methodology for detecting targeted genes under two related experiments.

    abstract::Many gene expression data are based on two experiments where the gene expressions of the targeted genes under both experiments are correlated. We consider problems in which objectives are to find genes that are simultaneously upregulated/downregulated under both experiments. A Bayesian methodology is proposed based on...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6555

    authors: Bansal NK,Jiang H,Pradeep P

    更新日期:2015-11-10 00:00:00

  • A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data.

    abstract::Predicting an individual's risk of experiencing a future clinical outcome is a statistical task with important consequences for both practicing clinicians and public health experts. Modern observational databases such as electronic health records provide an alternative to the longitudinal cohort studies traditionally ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6526

    authors: Wolfson J,Bandyopadhyay S,Elidrisi M,Vazquez-Benitez G,Vock DM,Musgrove D,Adomavicius G,Johnson PE,O'Connor PJ

    更新日期:2015-09-20 00:00:00

  • A sexually transmitted infection screening algorithm based on semiparametric regression models.

    abstract::Sexually transmitted infections (STIs) with Chlamydia trachomatis, Neisseria gonorrhoeae, and Trichomonas vaginalis are among the most common infectious diseases in the United States, disproportionately affecting young women. Because a significant portion of the infections present no symptoms, infection control relies...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6515

    authors: Li Z,Liu H,Tu W

    更新日期:2015-09-10 00:00:00

  • Exact and asymptotic inference in clinical trials with small event rates under inverse sampling.

    abstract::In this paper, we discuss statistical inference for a 2 × 2 table under inverse sampling, where the total number of cases is fixed by design. We demonstrate that the exact unconditional distributions of some relevant statistics differ from the distributions under conventional sampling, where the sample size is fixed b...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6511

    authors: Heimann G,Von Tress M,Gasparini M

    更新日期:2015-08-30 00:00:00

  • Signal detection in FDA AERS database using Dirichlet process.

    abstract::In the recent two decades, data mining methods for signal detection have been developed for drug safety surveillance, using large post-market safety data. Several of these methods assume that the number of reports for each drug-adverse event combination is a Poisson random variable with mean proportional to the unknow...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6510

    authors: Hu N,Huang L,Tiwari RC

    更新日期:2015-08-30 00:00:00

  • Positing, fitting, and selecting regression models for pooled biomarker data.

    abstract::Pooling biospecimens prior to performing lab assays can help reduce lab costs, preserve specimens, and reduce information loss when subject to a limit of detection. Because many biomarkers measured in epidemiological studies are positive and right-skewed, proper analysis of pooled specimens requires special methods. I...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6496

    authors: Mitchell EM,Lyles RH,Schisterman EF

    更新日期:2015-07-30 00:00:00

  • Power and sample size determination for group comparison of patient-reported outcomes using polytomous Rasch models.

    abstract::The analysis of patient-reported outcomes or other psychological traits can be realized using the Rasch measurement model. When the objective of a study is to compare groups of individuals, it is important, before the study, to define a sample size such that the group comparison test will attain a given power. The Ras...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6478

    authors: Hardouin JB,Blanchin M,Feddag ML,Le Néel T,Perrot B,Sébille V

    更新日期:2015-07-20 00:00:00

  • Comparison of operational characteristics for binary tests with clustered data.

    abstract::Although statistical methodology is well-developed for comparing diagnostic tests in terms of their sensitivity and specificity, comparative inference about predictive values is not. In this paper, we consider the analysis of studies comparing operating characteristics of two diagnostic tests that are measured on all ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6485

    authors: Kwak M,Um SW,Jung SH

    更新日期:2015-07-10 00:00:00

  • Methods for proper handling of overrunning and underrunning in phase II designs for oncology trials.

    abstract::Phase II studies in oncology are frequently conducted as two-stage single-arm trials with a binary endpoint indicating tumor response. As a common feature of these designs, the sample sizes of the two stages and the decision rules for the interim and the final analysis have to be pre-specified and adhered to strictly ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6479

    authors: Englert S,Kieser M

    更新日期:2015-06-15 00:00:00

  • Estimation of death rates in US states with small subpopulations.

    abstract::In US states with small subpopulations, the observed mortality rates are often zero, particularly among young ages. Because in life tables, death rates are reported mostly on a log scale, zero mortality rates are problematic. To overcome the observed zero death rates problem, appropriate probability models are used. U...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6385

    authors: Voulgaraki A,Wei R,Kedem B

    更新日期:2015-05-20 00:00:00

  • Accounting for informatively missing data in logistic regression by means of reassessment sampling.

    abstract::We explore the 'reassessment' design in a logistic regression setting, where a second wave of sampling is applied to recover a portion of the missing data on a binary exposure and/or outcome variable. We construct a joint likelihood function based on the original model of interest and a model for the missing data mech...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6456

    authors: Lin J,Lyles RH

    更新日期:2015-05-20 00:00:00

  • Rank-based estimating equations with general weight for accelerated failure time models: an induced smoothing approach.

    abstract::The induced smoothing technique overcomes the difficulties caused by the non-smoothness in rank-based estimating functions for accelerated failure time models, but it is only natural when the estimating function has Gehan's weight. For a general weight, the induced smoothing method does not provide smooth estimating f...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6415

    authors: Chiou S,Kang S,Yan J

    更新日期:2015-04-30 00:00:00

  • A multivariate Bayesian model for embryonic growth.

    abstract::Most longitudinal growth curve models evaluate the evolution of each of the anthropometric measurements separately. When applied to a 'reference population', this exercise leads to univariate reference curves against which new individuals can be evaluated. However, growth should be evaluated in totality, that is, by e...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6411

    authors: Willemsen SP,Eilers PH,Steegers-Theunissen RP,Lesaffre E

    更新日期:2015-04-15 00:00:00

  • Estimation of ROC curve with complex survey data.

    abstract::The receiver operating characteristic (ROC) curve can be utilized to evaluate the performance of diagnostic tests. The area under the ROC curve (AUC) is a widely used summary index for comparing multiple ROC curves. Both parametric and nonparametric methods have been developed to estimate and compare the AUCs. However...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6405

    authors: Yao W,Li Z,Graubard BI

    更新日期:2015-04-15 00:00:00

  • Longitudinal quantile regression in the presence of informative dropout through longitudinal-survival joint modeling.

    abstract::We propose a joint model for a time-to-event outcome and a quantile of a continuous response repeatedly measured over time. The quantile and survival processes are associated via shared latent and manifest variables. Our joint model provides a flexible approach to handle informative dropout in quantile regression. A M...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6393

    authors: Farcomeni A,Viviani S

    更新日期:2015-03-30 00:00:00

  • Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors.

    abstract::Slow recruitment in clinical trials leads to increased costs and resource utilization, which includes both the clinic staff and patient volunteers. Careful planning and monitoring of the accrual process can prevent the unnecessary loss of these resources. We propose two hierarchical extensions to the existing Bayesian...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6359

    authors: Jiang Y,Simon S,Mayo MS,Gajewski BJ

    更新日期:2015-02-20 00:00:00

  • The many weak instruments problem and Mendelian randomization.

    abstract::Instrumental variable estimates of causal effects can be biased when using many instruments that are only weakly associated with the exposure. We describe several techniques to reduce this bias and estimate corrected standard errors. We present our findings using a simulation study and an empirical application. For th...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6358

    authors: Davies NM,von Hinke Kessler Scholder S,Farbmacher H,Burgess S,Windmeijer F,Smith GD

    更新日期:2015-02-10 00:00:00

  • Personalized dose selection in radiation therapy using statistical models for toxicity and efficacy with dose and biomarkers as covariates.

    abstract::Selection of dose for cancer patients treated with radiation therapy (RT) must balance the increased efficacy with the increased toxicity associated with higher dose. Historically, a single dose has been selected for a population of patients (e.g., all stage III non-small cell lung cancer). However, the availability o...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6285

    authors: Schipper MJ,Taylor JM,TenHaken R,Matuzak MM,Kong FM,Lawrence TS

    更新日期:2014-12-30 00:00:00

  • Investigating the prediction ability of survival models based on both clinical and omics data: two case studies.

    abstract::In biomedical literature, numerous prediction models for clinical outcomes have been developed based either on clinical data or, more recently, on high-throughput molecular data (omics data). Prediction models based on both types of data, however, are less common, although some recent studies suggest that a suitable c...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6246

    authors: De Bin R,Sauerbrei W,Boulesteix AL

    更新日期:2014-12-30 00:00:00

  • STRengthening analytical thinking for observational studies: the STRATOS initiative.

    abstract::The validity and practical utility of observational medical research depends critically on good study design, excellent data quality, appropriate statistical methods and accurate interpretation of results. Statistical methodology has seen substantial development in recent times. Unfortunately, many of these methodolog...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6265

    authors: Sauerbrei W,Abrahamowicz M,Altman DG,le Cessie S,Carpenter J,STRATOS initiative.

    更新日期:2014-12-30 00:00:00

  • The basic science and mathematics of random mutation and natural selection.

    abstract::The mutation and natural selection phenomenon can and often does cause the failure of antimicrobial, herbicidal, pesticide and cancer treatments selection pressures. This phenomenon operates in a mathematically predictable behavior, which when understood leads to approaches to reduce and prevent the failure of the use...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6307

    authors: Kleinman A

    更新日期:2014-12-20 00:00:00

  • Violations of the independent increment assumption when using generalized estimating equation in longitudinal group sequential trials.

    abstract::In phase 3 clinical trials, ethical and financial concerns motivate sequential analyses in which the data are analyzed prior to completion of the entire planned study. Existing group sequential software accounts for the effects of these interim analyses on the sampling density by assuming that the contribution of subs...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6306

    authors: Shoben AB,Emerson SS

    更新日期:2014-12-20 00:00:00

  • Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting.

    abstract::While there has been extensive research developing gene-environment interaction (GEI) methods in case-control studies, little attention has been given to sparse and efficient modeling of GEI in longitudinal studies. In a two-way table for GEI with rows and columns as categorical variables, a conventional saturated int...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6281

    authors: Ko YA,Mukherjee B,Smith JA,Park SK,Kardia SL,Allison MA,Vokonas PS,Chen J,Diez-Roux AV

    更新日期:2014-12-20 00:00:00

  • The Peto odds ratio viewed as a new effect measure.

    abstract::Meta-analysis has generally been accepted as a fundamental tool for combining effect estimates from several studies. For binary studies with rare events, the Peto odds ratio (POR) method has become the relative effect estimator of choice. However, the POR leads to biased estimates for the OR when treatment effects are...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6301

    authors: Brockhaus AC,Bender R,Skipka G

    更新日期:2014-12-10 00:00:00

  • Bayesian sensitivity analysis of incomplete data: bridging pattern-mixture and selection models.

    abstract::Pattern-mixture models (PMM) and selection models (SM) are alternative approaches for statistical analysis when faced with incomplete data and a nonignorable missing-data mechanism. Both models make empirically unverifiable assumptions and need additional constraints to identify the parameters. Here, we first introduc...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6302

    authors: Kaciroti NA,Raghunathan T

    更新日期:2014-11-30 00:00:00

  • Effects of time-invariant covariates on the estimation of longitudinal trends for transition mixed models.

    abstract::In this paper, we investigate the impact of time-invariant covariates when fitting transition mixed models. This is carried out by emphasizing on the role of baseline responses on the estimation process. Transition models are allowed for two cases of exogenous and endogenous baseline responses. We illustrate these con...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6270

    authors: Rikhtehgaran R,Kazemi I,Verbeke G

    更新日期:2014-11-30 00:00:00

  • Correcting for the dependent competing risk of treatment using inverse probability of censoring weighting and copulas in the estimation of natural conception chances.

    abstract::When estimating the probability of natural conception from observational data on couples with an unfulfilled child wish, the start of assisted reproductive therapy (ART) is a competing event that cannot be assumed to be independent of natural conception. In clinical practice, interest lies in the probability of natura...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6280

    authors: van Geloven N,Geskus RB,Mol BW,Zwinderman AH

    更新日期:2014-11-20 00:00:00

  • Comparison of objective Bayes factors for variable selection in parametric regression models for survival analysis.

    abstract::This paper considers the problem of selecting a set of regressors when the response variable is distributed according to a specified parametric model and observations are censored. Under a Bayesian perspective, the most widely used tools are Bayes factors (BFs), which are undefined when improper priors are used. In or...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6249

    authors: Cabras S,Castellanos ME,Perra S

    更新日期:2014-11-20 00:00:00

  • Model selection and diagnostics for joint modeling of survival and longitudinal data with crossing hazard rate functions.

    abstract::Comparison of two hazard rate functions is important for evaluating treatment effect in studies concerning times to some important events. In practice, it may happen that the two hazard rate functions cross each other at one or more unknown time points, representing temporal changes of the treatment effect. Also, besi...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6259

    authors: Park KY,Qiu P

    更新日期:2014-11-20 00:00:00

  • Hierarchical nested trial design (HNTD) for demonstrating treatment efficacy of new antibacterial drugs in patient populations with emerging bacterial resistance.

    abstract::In the last decade or so, pharmaceutical drug development activities in the area of new antibacterial drugs for treating serious bacterial diseases have declined, and at the same time, there are worries that the increased prevalence of antibiotic-resistant bacterial infections, especially the increase in drug-resistan...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6233

    authors: Huque MF,Valappil T,Soon GG

    更新日期:2014-11-10 00:00:00

  • Weighted hurdle regression method for joint modeling of cardiovascular events likelihood and rate in the US dialysis population.

    abstract::We propose a new weighted hurdle regression method for modeling count data, with particular interest in modeling cardiovascular events in patients on dialysis. Cardiovascular disease remains one of the leading causes of hospitalization and death in this population. Our aim is to jointly model the relationship/associat...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6232

    authors: Sentürk D,Dalrymple LS,Mu Y,Nguyen DV

    更新日期:2014-11-10 00:00:00

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